To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Risa")
In most cases, you don't need to download the package archive at all.
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see Risa.
Bioconductor version: 3.3
The Investigation / Study / Assay (ISA) tab-delimited format is a general purpose framework with which to collect and communicate complex metadata (i.e. sample characteristics, technologies used, type of measurements made) from experiments employing a combination of technologies, spanning from traditional approaches to high-throughput techniques. Risa allows to access metadata/data in ISA-Tab format and build Bioconductor data structures. Currently, data generated from microarray, flow cytometry and metabolomics-based (i.e. mass spectrometry) assays are supported. The package is extendable and efforts are undergoing to support metadata associated to proteomics assays.
Author: Alejandra Gonzalez-Beltran, Audrey Kauffmann, Steffen Neumann, Gabriella Rustici, ISA Team
Maintainer: Alejandra Gonzalez-Beltran <alejandra.gonzalez.beltran at gmail.com>
Citation (from within R,
enter citation("Risa")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Risa")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Risa")
R Script | Risa: converts experimental metadata from ISA-tab into Bioconductor data structures | |
Reference Manual | ||
Text | NEWS |
biocViews | Annotation, DataImport, MassSpectrometry, Software |
Version | 1.14.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (4 years) |
License | LGPL |
Depends | R (>= 2.0.9), Biobase(>= 2.4.0), methods, Rcpp (>= 0.9.13), biocViews, affy |
Imports | xcms |
LinkingTo | |
Suggests | faahKO(>= 1.2.11) |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | mtbls2 |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | Risa_1.14.0.tar.gz |
Windows Binary | Risa_1.14.0.zip |
Mac OS X 10.9 (Mavericks) | Risa_1.14.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/Risa/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/Risa/ |
Package Downloads Report | Download Stats |
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